研究人员开发了Kepler-Encoder-v0.1，这是一种专为机器人设计的新型多模态嵌入模型。该模型将视觉数据与本体感觉以及力/扭矩传感器信息整合到一个统一的潜在空间中。该方法旨在提高机器人对其自身状态的理解，特别是在视觉受限的领域，例如检测力和接触。 AI
影响 该模型通过整合多样化的传感器数据，有望增强机器人的感知和控制能力，从而可能带来更强大、更具能力的机器人系统。
排序理由 该集群包含一篇arXiv预印本论文，详细介绍了一种新的机器人模型和方法论。
在 Hugging Face Daily Papers 阅读 →
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A robot must understand the state of its own body, but a camera sees only part of it. Force and contact leave almost no trace in a single frame, and raw vision features read force at $R^2$ at or below $0.10$ on every robot we test. We present Kepler-Encoder-v0.1, a robot-first mu…
arXiv:2607.13522v1 Announce Type: cross Abstract: A robot must understand the state of its own body, but a camera sees only part of it. Force and contact leave almost no trace in a single frame, and raw vision features read force at $R^2$ at or below $0.10$ on every robot we test…
A robot must understand the state of its own body, but a camera sees only part of it. Force and contact leave almost no trace in a single frame, and raw vision features read force at $R^2$ at or below $0.10$ on every robot we test. We present Kepler-Encoder-v0.1, a robot-first mu…